Root mean square
In mathematics, root mean square (abbreviated RMS or rms) is a statistical measure of the magnitude of a varying quantity. It can be calculated for a series of discrete values or for a continuously varying function. The name comes from the fact that it is the square root of the mean of the squares of the values. It is a power mean with the power t=2.
Related Topics:
Mathematics - Statistical - Magnitude - Function - Square root - Mean - Square - Power mean
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The rms for a collection of N values {x_1,x_2,dots,x_N} is:
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:
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x_{mathrm{rms}} =
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sqrt {{1 over N} sum_{i=1}^{N} x_i^2} =
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sqrt {{x_1^2 + x_2^2 + cdots + x_N^2} over N}
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and the corresponding formula for a continuous function f(t) defined over the interval T_1 le t le T_2 is:
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:
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x_{mathrm{rms}} = sqrt {{1 over {T_2 - T_1}} {int_{T_1}^{T_2} {}^2, dt}}.
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~ Table of Content ~
| ► | Introduction |
| ► | Uses |
| ► | Relationship to the arithmetic mean and the standard deviation |
| ► | See also |
| ► | External links |
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